CDSSM. The Convolutional Deep Structured Semantic Model [1]} extends DSSM and adopts multiple convolution layers to obtain semantic representations for queries and documents.
Its first two layers transform the input to a representation, based on word and letter n-grams. Next, it extracts local and global (sentence-level) contextual features from a convolution layer followed by max-pooling, before computing the final matching score like DSSM.
